MATH 135 - Probability and Statistics

4 Hour(s)

A calculus-based introduction to probability and statistics. Topics include probability, random variables, probability distributions (discrete and continuous), joint probability distributions (discrete and continuous), covariance, statistical inference (both estimation and hypthesis testing), confidence intervals of distribution parameters, sample size determinations, analysis of variance, method of least squares, and correlation.

Prerequisite(s): MATH 101